trainingControl {ensembleBMA} | R Documentation |
Function for use in setting training rules in ensembleBMA.
trainingControl(length = 30, lag = NA)
length |
The number of time steps (e.g. days) in the training period. |
lag |
The number of time steps ahead of the most recent date in the training period for which the forecast is valid. There is no default. |
An list with components specifying length
and lag
that
can be use to set the trainingRule
argument in
ensembleData
.
## Not run: data(slpTest) memberLabels <- c("AVN","GEM","ETA","NGM","NOGAPS") slpTestData <- ensembleData( forecasts = slpTest[ ,memberLabels], observations = slpTest$obs, dates = slpTest$date) trainDat <- trainingData(slpTestData, date = "2000063000", trainingRule = trainingControl(length=25,lag=2)) slpTestFitTD <- fitBMAnormal(trainDat) ## End(Not run)